7 citations · 8 across the 3 of their papers we have counts for
4 papers
No Silver Bullet: Boosting GaussDB Performance on the 30TB TPC-H Workload
Tim Zeyl, Jason Lam, Shu Lin +15
GaussDB is Huawei's premier database system, designed for large-scale deployments and the most demanding workloads. It is a distributed shared-nothing system, capable of handling a…
Including Bloom Filters in Bottom-up Optimization
Tim Zeyl, Qi Cheng, Reza Pournaghi +5
Bloom filters are used in query processing to perform early data reduction and improve query performance. The optimal query plan may be different when Bloom filters are used, indic…
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting
Shane Bergsma, Timothy Zeyl, Javad Rahimipour Anaraki +1
We present coarse-to-fine autoregressive networks (C2FAR), a method for modeling the probability distribution of univariate, numeric random variables. C2FAR generates a hierarchica…
SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting
Shane Bergsma, Timothy Zeyl, Lei Guo
We propose SutraNets, a novel method for neural probabilistic forecasting of long-sequence time series. SutraNets use an autoregressive generative model to factorize the likelihood…